Evidence map›Paper›PMID 42221765›Full record

SynthesisFrontiers in nutrition2026

Acupoint catgut embedding for improving HOMA-IR in patients with abdominal obesity and insulin resistance: a protocol for systematic review and network meta-analysis.

Lang Hu, Tao Zhu, Ming Li, Zhihui Zhang, Yizhou Chen, Luyao Cai, Dan Yang, Jin Cui

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lang HuGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Tao ZhuGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Ming LiGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Zhihui ZhangGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Yizhou ChenGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Luyao CaiGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Dan YangGuizhou University of Traditional Chinese Medicine, Guiyang, China.
Jin CuiGuizhou University of Traditional Chinese Medicine, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Acupoint catgut embedding (ACE) shows promise for improving insulin resistance in abdominal obesity, but its comparative efficacy against other interventions remains unclear due to a lack of head-to-head trials. This study aims to systematically evaluate the efficacy and safety of ACE for reducing HOMA-IR in this population and to compare different interventions via network meta-analysis. Methods: We will conduct a systematic search of 13 electronic databases, covering the period from the inception of each database to March 2026. This study will include all randomized controlled trials evaluating acupoint catgut embedding for the treatment of abdominal obesity with concomitant insulin resistance. Two review authors will independently perform literature screening, data extraction, and assess the risk of bias of included studies using the revised Cochrane risk-of-bias tool (RoB 2). The primary outcome measure will be the homeostasis model assessment of insulin resistance (HOMA-IR) index. Secondary outcome measures will include fasting plasma glucose, fasting insulin, waist circumference, body mass index, lipid profile, inflammatory markers, and adverse events. Data synthesis will be performed using Stata 17.0 and R software. Conventional pairwise meta-analyses will be conducted using random-effects models. For network meta-analysis, we will adopt a frequentist framework using multivariate random-effects meta-analysis. The design-by-treatment interaction model will be used to assess global inconsistency, and node-splitting analysis will be performed to evaluate local inconsistency for any closed loops in the evidence network. The surface under the cumulative ranking curve (SUCRA) will be used to estimate the probability of each intervention being ranked as the most effective. The strength of evidence will be assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework. Conclusion: This study will compare the efficacy of acupoint catgut embedding against lifestyle interventions, pharmacotherapy, and other acupuncture modalities in improving insulin resistance among patients with abdominal obesity. The findings aim to inform clinical decisions and optimize therapeutic strategies. Additionally, subgroup analyses based on embedding depth, treatment frequency, ethnicity, and insulin resistance severity will help identify the most effective regimens for specific patient subgroups, guiding personalized treatment. Systematic review registration: https://www.crd.york.ac.uk/prospero/, CRD420261331031.

Indexed as

abdominal obesityacupoint catgut embeddinginsulin resistancenetwork meta-analysisprotocolsystematic review

Identifiers

PMID42221765
PMCPMC13218076

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.